Rosen Diankov is a PhD student at the Robotics Institute at Carnegie Mellon. He received his BS degree in Electrical Engineering and Computer Science at the University of California Berkeley in 2006, along with his BAS in applied math. Rosen's current research focuses on statistical planning using machine learning to get robots to autonomously perform complex tasks like making coffee or cleaning the dinner table without requiring programmers to tweak endless parameters or write scripts. He's very interested in getting humanoid/mobile-manipulator robots in the kitchen to help out with chores. He has also worked on robot vision and is looking for effective ways to plan around environments using cameras attached to the robot.